Evaluating Sentinel-2 for Lakeshore Habitat Mapping Based on Airborne Hyperspectral Data

Sensors

Dimitris Stratoulias³  Heiko Balzter¹  Olga Sykioti²  András Zlinszky³  Viktor R. Tóth³ 

[1] University of Leicester, Centre for Landscape and Climate Research, Bennett Building, University Road, Leicester, LE1 7RH, UK; E-Mail:;National Observatory of Athens, Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, Metaxa and Vas. Pavlou Str., Penteli, Athens GR-15236, Greece; E-Mail:;Balaton Limnological Institute, Centre for Ecological Research, Hungarian Academy of Sciences, Klebelsberg Kuno u. 3., Tihany, H-8237, Hungary; E-Mails:

关键词: Sentinel-2;    simulation;    hyperspectral;    spectral response function;    Phragmites;    macrophytes;    lakeshore vegetation;    habitat mapping;   

DOI  :  10.3390/s150922956

来源: mdpi

【 摘 要 】

Monitoring of lakeshore ecosystems requires fine-scale information to account for the high biodiversity typically encountered in the land-water ecotone. Sentinel-2 is a satellite with high spatial and spectral resolution and improved revisiting frequency and is expected to have significant potential for habitat mapping and classification of complex lakeshore ecosystems. In this context, investigations of the capabilities of Sentinel-2 in regard to the spatial and spectral dimensions are needed to assess its potential and the quality of the expected output. This study presents the first simulation of the high spatial resolution (i.e., 10 m and 20 m) bands of Sentinel-2 for lakeshore mapping, based on the satellite’s Spectral Response Function and hyperspectral airborne data collected over Lake Balaton, Hungary in August 2010. A comparison of supervised classifications of the simulated products is presented and the information loss from spectral aggregation and spatial upscaling in the context of lakeshore vegetation classification is discussed. We conclude that Sentinel-2 imagery has a strong potential for monitoring fine-scale habitats, such as reed beds.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.